Evidence map›Paper›PMID 39937754›Full record

ArticlePloS one2025

Trends of wealth-related inequality in stunting and its contributing factors among under-five children in Ethiopia: Decomposing the concentration index using Ethiopian Demographic Health Surveys 2011-2019.

Yawkal Tsega, Abel Endawkie, Shimels Derso Kebede, Eyob Tilahun Abeje, Ermias Bekele Enyew, Chala Daba, Lakew Asmare, Fekade Demeke Bayou, Mastewal Arefaynie, Asnakew Molla Mekonen and 6 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yawkal TsegaDepartment of Health System and Management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0000-0003-1969-7509
Abel EndawkieDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0000-0001-7613-7079
Shimels Derso KebedeDepartment of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Eyob Tilahun AbejeDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Ermias Bekele EnyewDepartment of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Chala DabaDepartment of Environmental Health College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0000-0002-4906-9610
Lakew AsmareDepartment of Epidemiology and Biostatistics, institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Fekade Demeke BayouDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Mastewal ArefaynieDepartment of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Asnakew Molla MekonenDepartment of Health System and Management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Abiyu Abadi TarekeWest Gondar Zonal Health Department, Amref Health Africa in Ethiopia, Gondar, Ethiopia.
Awoke KelebDepartment of Environmental Health College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Kaleab Mesfin AberaDepartment of Health System and Management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Natnael KebedeDepartment of Health Promotion, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0000-0001-5734-6289
Endalkachew Mesfin GebeyehuDepartment of Health System and Management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0009-0009-2350-6438
Aznamariam AyresDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0000-0002-5267-5718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood stunting is a critical public health agenda that affects physical and cognitive development, leading to long-term health problems. Understanding its wealth related trends and contributing factors is essential for effective prospective interventions. Therefore, this study is aimed to assess the trends of childhood stunting inequality using Ethiopian Demographic Health Surveys (EDHS).

methodsThis study employed the three consecutive EDHS datasets collected in 2011, 2016, and 2019. Socioeconomic disparity of stunting among under-five children was estimated through concentration index (CIX). Moreover, Wagstaff approach was used to decompose the relative CIX to assess the contribution of explanatory variables for the overall wealth inequality in childhood stunting.

resultsThe overall weighted prevalence of childhood stunting in Ethiopia was 40.76% (95%CI: 40.14%, 41.37%). The trend in the magnitude of childhood stunting decreased from 44.52% in 2011 to 37.08% in 2019. The magnitude of childhood stunting was higher (14.30%) among the poorest households than the richest households (4.70%). Moreover, the CIX of wealth inequality decreased from -0.064 in 2011 to -0.089 in 2019. Wealth index(103.38%), place of residence(34.55%), mother's education(26.73%), place of delivery(12.16%) and utilization of recommended antenatal care(12.02%) were high contributor variables in increasing the inequality, whereas administrative regions (-7.15%) and number of under-five children in the household (-4.63%) were variables contributed in the reduction of wealth inequalities in childhood stunting.

conclusionThis study revealed that children in the poorest households were more likely to experience childhood stunting than the children in the richest households. Factors such as wealth index, mothers education, place of residence, place of delivery, number of under-five children in the household were the contributing variables for the childhood stunting inequality. Therefore, the health decision makers better to improve the access and quality of nutritional services for the children in the poorest households in Ethiopia.

Indexed as

Growth DisordersHealth Status DisparitiesAdultChild, PreschoolEthiopiaFemaleHealth SurveysHumansInfantMalePrevalenceSocioeconomic Factors

Identifiers

PMID39937754
PMCPMC11819561

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.